Software Engineer, ML at Twitch

New York, New York, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Live Streaming, Gaming, EntertainmentIndustries

Requirements

1+ years of professional software development experience with a focus on building scalable systems
Experience building production ML infrastructure, including model deployment, serving, and monitoring systems
Proficiency in modern programming languages (Python, Java, Go) and distributed system technologies
A track record of building APIs and integrating systems that handle high-throughput, low-latency requirements
Understanding of data processing pipelines and experience with streaming technologies (Flink, Kafka, or similar)
Sharp problem-solving skills with a focus on algorithms, data structures, and distributed system design
Bachelor's degree in Computer Science, Engineering, or equivalent real-world experience

Responsibilities

Build robust ML infrastructure and platforms that power personalized monetization experiences across Twitch's ecosystem
Architect and develop APIs that seamlessly integrate ML models with existing monetization services, enabling real-time and batch predictions at scale
Collaborate with Applied Scientists to productionize ML models, transforming research into production-ready systems that serve millions of users
Partner with product engineering teams across monetization to deliver ML-powered features that enhance creator and viewer experiences
Design and implement comprehensive monitoring and operational excellence systems for ML model performance, ensuring reliability and quality at scale
Develop data ingestion and processing pipelines that support both real-time inference and batch training workflows
Explore and build infrastructure for emerging use cases including LLM applications in monetization contexts

Skills

Machine Learning

ML Infrastructure

Python

APIs

Real-time Systems

Batch Processing

Model Productionization

Monitoring

Fraud Detection

Scalability

Twitch

Interactive live streaming for gaming and esports

About Twitch

Twitch is an interactive live streaming platform that focuses on video game streaming, esports broadcasts, and creative content. It allows gamers and content creators to share their gameplay and creative processes in real-time, engaging with viewers through chat and other interactive features. The platform generates revenue through advertisements, subscriptions, and the sale of virtual goods, enabling content creators to earn money from their streams via viewer subscriptions, donations, and sponsorships. What sets Twitch apart from its competitors is its strong community aspect, which fosters interaction and engagement between streamers and viewers, creating a unique and immersive experience in the digital entertainment space. The goal of Twitch is to provide a platform where content creators can thrive and connect with their audience while offering viewers an engaging and entertaining experience.

San Francisco, CaliforniaHeadquarters

2011Year Founded

$34MTotal Funding

ACQUISITIONCompany Stage

Consumer Software, Entertainment, GamingIndustries

10,001+Employees

Benefits

Medical, Dental, Vision & Disability Insurance

401(k)

Maternity & Parental Leave

Flexible PTO

Commuter Benefits

Amazon Employee Discount

Risks

Competition from YouTube Gaming and Facebook Gaming is intensifying.

Short-form video platforms like TikTok are drawing viewers away from Twitch.

Concerns over content moderation could lead to regulatory scrutiny.

Differentiation

Twitch offers real-time engagement through interactive chat and live streaming features.

The platform supports diverse content, including gaming, esports, and creative streams.

Twitch enables monetization for creators via subscriptions, donations, and sponsorships.

Upsides

Mainstream brands like KFC and Wendy's are collaborating with Twitch streamers.

Celebrities and politicians are using Twitch to reach wider audiences.

Organizations are hosting large-scale virtual events on Twitch, expanding its use cases.

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